Constructor Detail

• LineSegmentDetector

  protected LineSegmentDetector​(long addr)

Method Detail

• __fromPtr__

  public static LineSegmentDetector __fromPtr__​(long addr)

• compareSegments

  public int compareSegments​(Size size,
                             Mat lines1,
                             Mat lines2,
                             Mat _image)

  Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.

  Parameters:

  size - The size of the image, where lines1 and lines2 were found.

  lines1 - The first group of lines that needs to be drawn. It is visualized in blue color.

  lines2 - The second group of lines. They visualized in red color.

  _image - Optional image, where the lines will be drawn. The image should be color(3-channel) in order for lines1 and lines2 to be drawn in the above mentioned colors.

  Returns:

  automatically generated

• compareSegments

  public int compareSegments​(Size size,
                             Mat lines1,
                             Mat lines2)

  Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.

  Parameters:

  size - The size of the image, where lines1 and lines2 were found.

  lines1 - The first group of lines that needs to be drawn. It is visualized in blue color.

  lines2 - The second group of lines. They visualized in red color. in order for lines1 and lines2 to be drawn in the above mentioned colors.

  Returns:

  automatically generated

• detect

  public void detect​(Mat _image,
                     Mat _lines,
                     Mat width,
                     Mat prec,
                     Mat nfa)

  Finds lines in the input image. This is the output of the default parameters of the algorithm on the above shown image. 

  Parameters:

  _image - A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use: lsd_ptr->detect(image(roi), lines, ...); lines += Scalar(roi.x, roi.y, roi.x, roi.y);

  _lines - A vector of Vec4i or Vec4f elements specifying the beginning and ending point of a line. Where Vec4i/Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly oriented depending on the gradient.

  width - Vector of widths of the regions, where the lines are found. E.g. Width of line.

  prec - Vector of precisions with which the lines are found.

  nfa - Vector containing number of false alarms in the line region, with precision of 10%. The bigger the value, logarithmically better the detection.

  • -1 corresponds to 10 mean false alarms
  • 0 corresponds to 1 mean false alarm
  • 1 corresponds to 0.1 mean false alarms This vector will be calculated only when the objects type is #LSD_REFINE_ADV.

• detect

  public void detect​(Mat _image,
                     Mat _lines,
                     Mat width,
                     Mat prec)

  Finds lines in the input image. This is the output of the default parameters of the algorithm on the above shown image. 

  Parameters:

  _image - A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use: lsd_ptr->detect(image(roi), lines, ...); lines += Scalar(roi.x, roi.y, roi.x, roi.y);

  _lines - A vector of Vec4i or Vec4f elements specifying the beginning and ending point of a line. Where Vec4i/Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly oriented depending on the gradient.

  width - Vector of widths of the regions, where the lines are found. E.g. Width of line.

  prec - Vector of precisions with which the lines are found. bigger the value, logarithmically better the detection.

  • -1 corresponds to 10 mean false alarms
  • 0 corresponds to 1 mean false alarm
  • 1 corresponds to 0.1 mean false alarms This vector will be calculated only when the objects type is #LSD_REFINE_ADV.

• detect

  public void detect​(Mat _image,
                     Mat _lines,
                     Mat width)

  Finds lines in the input image. This is the output of the default parameters of the algorithm on the above shown image. 

  Parameters:

  _image - A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use: lsd_ptr->detect(image(roi), lines, ...); lines += Scalar(roi.x, roi.y, roi.x, roi.y);

  _lines - A vector of Vec4i or Vec4f elements specifying the beginning and ending point of a line. Where Vec4i/Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly oriented depending on the gradient.

  width - Vector of widths of the regions, where the lines are found. E.g. Width of line. bigger the value, logarithmically better the detection.

  • -1 corresponds to 10 mean false alarms
  • 0 corresponds to 1 mean false alarm
  • 1 corresponds to 0.1 mean false alarms This vector will be calculated only when the objects type is #LSD_REFINE_ADV.

• detect

  public void detect​(Mat _image,
                     Mat _lines)

  Finds lines in the input image. This is the output of the default parameters of the algorithm on the above shown image. 

  Parameters:

  _image - A grayscale (CV_8UC1) input image. If only a roi needs to be selected, use: lsd_ptr->detect(image(roi), lines, ...); lines += Scalar(roi.x, roi.y, roi.x, roi.y);

  _lines - A vector of Vec4i or Vec4f elements specifying the beginning and ending point of a line. Where Vec4i/Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly oriented depending on the gradient. bigger the value, logarithmically better the detection.

  • -1 corresponds to 10 mean false alarms
  • 0 corresponds to 1 mean false alarm
  • 1 corresponds to 0.1 mean false alarms This vector will be calculated only when the objects type is #LSD_REFINE_ADV.

• drawSegments

  public void drawSegments​(Mat _image,
                           Mat lines)

  Draws the line segments on a given image.

  Parameters:

  _image - The image, where the lines will be drawn. Should be bigger or equal to the image, where the lines were found.

  lines - A vector of the lines that needed to be drawn.

• finalize

  protected void finalize()
                   throws java.lang.Throwable

  Overrides:

  finalize in class Algorithm

  Throws:

  java.lang.Throwable